Kaiming Yang Email & Phone Number

Sydney, New South Wales, Australia

• Real time trade administration and necessary reporting.
• Analysis and reporting of trading operation (KPIs).
• Analysis of trading, pricing, and execution to complement our core research teams.
• Analysis of our trading strategies from a positional point of view.
• Designing and building our tooling and automation for traders via Excel & Scripting APIs.
• Working with other departments to improve trading operations efficiencies.

Sydney, New South Wales, Australia

• Lead on finance digitalisation, including visualisation, advanced automation, and advanced machine learning.
• Design and run data driven experiments to make the teams more efficient and more effective.
• Deliver innovative digital solutions and be at the leading edge of what is possible for finance.
• Work closely with product control to drive the project and deliver solutions which will enable future operating model.
• Produce user friendly, dynamic dashboards and graphics tailored to internal stakeholder requirements.
• Increase sophistication in using data to uncover business value and accelerate decision support for both Finance and internal customers.

Sydney, New South Wales, Australia

• Working as part of the restructuring team in the Financial Advisory department.
• Helping to advise high-profile businesses to address underperformance issues.
• Working as part of diverse teams to diagnose root causes of client underperformance and design programs to improve their operations and profitability, generate cash, and carry out transformations.
• Leveraging data, the latest technology (machine learning, big data modelling) to build analytical solutions.
• Developing problem-solving skills and workshopping problems to deliver sustainable financial outcomes and long-term growth.

Sydney, New South Wales, Australia

• Retail project: consulting for one of the biggest liquor retailers in Australia. Develop analytical tools that feed in demographic data, weather data, google mobility data, and transactional data to optimise store.
• Using machine learning techniques, such as the K-Mean algorithm, to perform clustering analysis on demographic data.
• Performing time series regression analysis on weather data to identify the relationship between weather patterns and store sales.
• Project Everest: develop an asset for the aged care business sector which feeds in external datasets, organisation inputs (excel/via Qualtrics surveys), and then through a predictive analytics model with a scenario.
• Using a range of external economic data and internal Deloitte resources, build a predictive analytics tool to identify correlations and model demand, supply, and workforce for the aged care sector.
• Develop an interactive dashboard suite that allows the user to obtain key insights and it is interactive and easy to use/understand.

Sydney, Australia

• Taught subjects including undergraduate and postgraduate units: Quantitative Business Analysis; Foundations of Business Analytics; Management Science; Statistical Modelling for Business; Quantitative Methods for.
• Taught over 300 students how to analyse large datasets using Python and Excel.
• Conducted over 100 hours of face-to-face consultations corresponding to each subject.
• Marked and reviewed over 500 students’ exams and assignments.
• Interacted with the lecturer and other tutors to develop curriculum and practice tests for students.Achievements
• Demonstrated excellent communication skills, programming skills, and team working skills.

Sydney, Australia

• Serviced multinational entity businesses.
• Processed vendor invoices, vendor payment runs, vendor payment reconciliations, and PO reconciliations for the Australian accounts.
• Research and resolve invoice discrepancies and issues.
• Maintain vendor files and correspond with vendors and respond to inquiries.
• Produce monthly reports and assist with month-end closing.Achievements
• Close attention to detail and problem-solving skills result in a significant reduction in transaction issues.

Sydney, Australia

• During the internal audit period, used Microsoft Visio to draw the internal process map for the accounts payable team. This process map is used to demonstrate how the accounts payable officers conduct their day-to-day.
• For the New Zealand accounts, processing vendor invoices, vendor payment runs and vendor payment reconciliations on MAX.Achievements
• Gained an understanding of corporate policies and procedures related to expenditure processing.
• Gained an understanding of financial delegations for expenditure, expense management, GST, VAT, and other tax invoice requirements.Tools Used: Microsoft Excel, Max, Microsoft Visio.

Master Of Business Analytics, Business Analytics, Wam: 85%

Activities and Societies: Member of Data Analytics Club. • This degree is ranking number 5 globally based on the QS World University.

Bachelor Of Commerce (Honours), Business Analytics And Accounting, First Class Honours

Activities and Societies: Student Representative for Management Accounting A and Corporations Law. • Honours Grade: First Class I in.